code: def test_executable_batch_size_no_search(self):
      batch_sizes = []
  
      @find_executable_batch_size(
          starting_batch_size=64, auto_find_batch_size=False
      )
      def mock_training_loop_function(batch_size):
          nonlocal batch_sizes
          batch_sizes.append(batch_size)
  
      mock_training_loop_function()
      self.assertEqual(batch_sizes, [64])
  
imports: import copy
  import unittest
  import numpy
  from transformers.data.data_collator import default_data_collator
  from transformers.testing_utils import require_accelerate, require_torch
  from transformers.trainer_utils import RemoveColumnsCollator, find_executable_batch_size
  from transformers.utils import is_torch_available
label_desc: Use image node_id 17 for calling the TrainerUtilsTest obj's underlying member method code with example usage: obj.test_executable_batch_size_no_search() without return types